{"as_of":"2026-08-11T03:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5858ccaed3301be12c7e5f9bb5def3721cf036a5147dd31ed636cb767bb3aa8a","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T20:55:41.377014Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-21T03:59:32.538451Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2311.15271","last_updated":"2023-11-26T11:50:56Z","snapshot_observed_at":"2026-08-09T18:10:06.958987Z","submitted_at":"2023-11-26T11:50:56Z","title":"Synthesizing mixed-integer linear programming models from natural language descriptions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.15271","snapshot_observed_at":"2026-08-04T20:55:41.377014Z","title":"Synthesizing mixed-integer lin- ear programming models from natural language descriptions,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.08269","last_updated":"2026-07-17T08:53:46Z","snapshot_observed_at":"2026-08-08T15:31:01.848037Z","submitted_at":"2025-09-10T04:05:54Z","title":"A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving","version":6},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-04T20:55:41.377014Z"},"links":{"cited_paper":"/paper/2311.15271","citing_paper":"/paper/2509.08269"},"observation_digest":"sha256:e8b7fb24873bf3756070d1f7cc6dc28239e70343b0cdaea8a2bb46493a03c9ac","observation_id":"70fab054-2cc5-4b07-97cf-4cd73db6f723","resolution":{"observed_at":"2026-08-04T20:55:41.377014Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.15271","last_updated":"2023-11-26T11:50:56Z","snapshot_observed_at":"2026-08-09T18:10:06.958987Z","submitted_at":"2023-11-26T11:50:56Z","title":"Synthesizing mixed-integer linear programming models from natural language descriptions","version":1},"cited_work":{"arxiv_id":"2311.15271","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.15271","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2311.15271 (2023)","venue":null,"work_id":"adcea218-591c-41e6-8b80-bbaf4188afbd","year":2023},"citing_paper":{"arxiv_id":"2605.00369","last_updated":"2026-06-05T01:05:58Z","snapshot_observed_at":"2026-07-06T23:13:47.082550Z","submitted_at":"2026-05-01T03:12:16Z","title":"InvEvolve: Evolving White-Box Inventory Policies via Large Language Models with Performance Guarantees","version":2},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-05-09T19:50:39.734124Z"},"links":{"cited_paper":"/paper/2311.15271","citing_paper":"/paper/2605.00369"},"observation_digest":"sha256:aeaa23c7dbc8fa37a8dad051292bcbdb72645a643c7273b1984fd95d789860c4","observation_id":"325b864c-fd18-4664-8945-1fe7a5a9d1e0","resolution":{"observed_at":"2026-05-11T15:31:08.071710Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.15271","last_updated":"2023-11-26T11:50:56Z","snapshot_observed_at":"2026-08-09T18:10:06.958987Z","submitted_at":"2023-11-26T11:50:56Z","title":"Synthesizing mixed-integer linear programming models from natural language descriptions","version":1},"cited_work":{"arxiv_id":"2311.15271","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.15271","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2311.15271 (2023)","venue":null,"work_id":"adcea218-591c-41e6-8b80-bbaf4188afbd","year":2023},"citing_paper":{"arxiv_id":"2605.00369","last_updated":"2026-06-05T01:05:58Z","snapshot_observed_at":"2026-07-06T23:13:47.082550Z","submitted_at":"2026-05-01T03:12:16Z","title":"InvEvolve: Evolving White-Box Inventory Policies via Large Language Models with Performance Guarantees","version":3},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-05-12T02:38:45.322351Z"},"links":{"cited_paper":"/paper/2311.15271","citing_paper":"/paper/2605.00369"},"observation_digest":"sha256:e81bcfdd31c2d1aa79ad76ba2dbbbf6e6706a41115ea1bf1d2bec448d7fb20c7","observation_id":"415e10ef-0d35-4f59-93a6-efab1581dca6","resolution":{"observed_at":"2026-05-12T02:41:17.713790Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.15271","last_updated":"2023-11-26T11:50:56Z","snapshot_observed_at":"2026-08-09T18:10:06.958987Z","submitted_at":"2023-11-26T11:50:56Z","title":"Synthesizing mixed-integer linear programming models from natural language descriptions","version":1},"cited_work":{"arxiv_id":"2311.15271","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.15271","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2311.15271 (2023)","venue":null,"work_id":"adcea218-591c-41e6-8b80-bbaf4188afbd","year":2023},"citing_paper":{"arxiv_id":"2605.20849","last_updated":"2026-05-20T07:40:05Z","snapshot_observed_at":"2026-08-05T14:32:21.145968Z","submitted_at":"2026-05-20T07:40:05Z","title":"Large Language Models for Operations Research: A Comprehensive Survey","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-21T03:56:29.983335Z"},"links":{"cited_paper":"/paper/2311.15271","citing_paper":"/paper/2605.20849"},"observation_digest":"sha256:8dbde3b89f0a5780a29968894edf6dbde3766197046815f471522838ff97e9cf","observation_id":"97581070-8877-4176-b7cf-ff73339e47cf","resolution":{"observed_at":"2026-05-21T03:59:32.539987Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.15271","last_updated":"2023-11-26T11:50:56Z","snapshot_observed_at":"2026-08-09T18:10:06.958987Z","submitted_at":"2023-11-26T11:50:56Z","title":"Synthesizing mixed-integer linear programming models from natural language descriptions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.15271","snapshot_observed_at":"2026-08-02T13:59:23.869763Z","title":"Kuo Liang, Yuhang Lu, Jianming Mao, Shuyi Sun, Chunwei Yang, Congcong Zeng, Xiao Jin, Hanzhang Qin, Ruihao Zhu, and Chung-Piaw Teo","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20456","last_updated":"2026-05-14T22:55:14Z","snapshot_observed_at":"2026-08-07T21:58:46.603431Z","submitted_at":"2026-05-14T22:55:14Z","title":"Learn2Zinc: Fine-tuning Small Language Models for Text-to-Model Translation in MiniZinc","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T13:59:23.869763Z"},"links":{"cited_paper":"/paper/2311.15271","citing_paper":"/paper/2607.20456"},"observation_digest":"sha256:759e6db40bac753e267b255b5fcf1553c2986ec67447bc454131646528595e02","observation_id":"abb0b81f-488b-4d7c-8978-83b6d7e367d0","resolution":{"observed_at":"2026-08-02T13:59:23.869763Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2311.15271/citation-record","integrity":"/paper/2311.15271/integrity","json":"/paper/2311.15271/citation-record.json","paper":"/paper/2311.15271"},"outbound":[],"paper":{"arxiv_id":"2311.15271","last_updated":"2023-11-26T11:50:56Z","latest_version":1,"primary_category":"math.OC","snapshot_observed_at":"2026-08-09T18:10:06.958987Z","submitted_at":"2023-11-26T11:50:56Z","title":"Synthesizing mixed-integer linear programming models from natural language descriptions"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2311.15271."}